OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A new intelligent fault diagnosis method for bearing in different speeds based on the FDAF-score algorithm, binary particle swarm optimization, and support vector machine
Saeed Nezamivand Chegini, Ahmad Bagheri, Farid Najafi
Soft Computing (2019) Vol. 24, Iss. 13, pp. 10005-10023
Closed Access | Times Cited: 13

Showing 13 citing articles:

Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 9

Bearing fault damage degree identification method based on SSA-VMD and Shannon entropy–exponential entropy decision
Xiaochi Luan, Chenghao Zhong, Fengtong Zhao, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 3105-3133
Closed Access | Times Cited: 7

The artificial rabbits optimized variational mode decomposition and its application on quality evaluation of machines
Zubin Liu, Zhuo Xu, Dapeng Tan
Applied Acoustics (2025) Vol. 235, pp. 110680-110680
Closed Access

A novel x-shaped binary particle swarm optimization
Zahra Beheshti
Soft Computing (2020) Vol. 25, Iss. 4, pp. 3013-3042
Closed Access | Times Cited: 38

Intelligent bearing fault diagnosis using swarm decomposition method and new hybrid particle swarm optimization algorithm
Saeed Nezamivand Chegini, Pouriya Amini, Bahman Ahmadi, et al.
Soft Computing (2021) Vol. 26, Iss. 3, pp. 1475-1497
Closed Access | Times Cited: 20

Health Management of Bearings Using Adaptive Parametric VMD and Flying Squirrel Search Algorithms to Optimize SVM
Tianrui Zhang, Lianhong Zhou, Jinyang Li, et al.
Processes (2024) Vol. 12, Iss. 3, pp. 433-433
Open Access | Times Cited: 2

Rolling Bearing Fault Feature Selection Method Based on a Clustering Hybrid Binary Cuckoo Search
Lijun Sun, Yan Xin, Tianfei Chen, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 459-459
Open Access | Times Cited: 4

New bearing slight degradation detection approach based on the periodicity intensity factor and signal processing methods
Saeed Nezamivand Chegini, Mohammad Javad Haghdoust Manjili, Bahman Ahmadi, et al.
Measurement (2020) Vol. 170, pp. 108696-108696
Closed Access | Times Cited: 9

Imbalanced fault classification of rolling bearing based on an improved oversampling method
Yanfang Han, Baozhu Li, Yingkun Huang, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 4
Closed Access | Times Cited: 3

Hybrid Fault Diagnosis Method based on Wavelet Packet Energy Spectrum and SSA-SVM
Jinglei Qu, Ma B, Xiaojie Ma, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 5
Open Access | Times Cited: 4

A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
Amirsajjad Rahmani, Faramarz Hojati, Mohammadjafar Hadad, et al.
Machines (2023) Vol. 11, Iss. 8, pp. 835-835
Open Access | Times Cited: 2

New Cointegration-Based Feature Extraction Technique for Intelligent Bearing Fault Detection Under Time-Varying Speed
Saeed Nezamivand Chegini, Bahman Ahmadi
Arabian Journal for Science and Engineering (2024)
Closed Access

Intelligent Bearing Fault Diagnosis using Swarm Decomposition Method and New Hybrid Particle Swarm Optimization Algorithm
Saeed Nezamivand Chegini, Pouriya Amini, Bahman Ahmadi, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 3

Fault diagnosis of printing press bearing based on deformable convolution residual neural network
Qiumin Wu, Ziqi Zhu, Jiahui Tang, et al.
Networks and Heterogeneous Media (2023) Vol. 18, Iss. 2, pp. 622-646
Open Access

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